The Analytics program provides students with a rigorous training in computational, mathematical, and statistical methods to prepare them for careers in data science and analytics.
Students in the M.S. in Analytics program build a solid knowledge in data analytics fundamentals and then add skills in visualization, big data computing, and machine learning. Important soft skills such as communication, teamwork, and problem solving techniques are part of the training throughout. Students who complete the program pursue careers in fields including business intelligence, precision medicine, policy analytics, finance, marketing, online banking, big data infrastructure, and education. The data science graduate program also serves as preparation for students who wish to enter a Ph.D. program in Applied Mathematics, Statistics, or Computer Science, or Economics.
Who Should Apply?
This program is appropriate for students who have recently completed degrees with significant mathematical or statistical emphasis, as well as for mid-career professionals who seek professional advancement or a shift in career track. The expected time for completing the degree as a full-time student is two years. By using transfer credit and/or taking summer courses, students may be able to complete the program in three semesters (16 months). Part-time students may take longer (up to three years). Classes are offered in the late afternoon or evening, allowing part-time students to participate fully.